Battle of the Models

Compare specific LLM models, context windows, and capabilities.

mistralai/mistral-7b-instruct-v0.2

DEPRECATED

Replicate

This model is no longer active/free — kept for reference.

Intelligence Score 76/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Commercial / Paid

View Provider Analysis →

S-TIER

Friendli AI

Intelligence Score 94/100

Context Window 164K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 76/100, DeepSeek V3.2 outperforms mistralai/mistral-7b-instruct-v0.2 by 18 points.

Clear Winner: Significant performance advantage for DeepSeek V3.2.

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	DeepSeek V3.2
Context Window	32K tokens	164K Context
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~70-74%	~88-91%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	Tier 0: adaptive (60 RPM from Tier 1)
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime